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4 дня назад

Data Platform Engineering Lead (Snowflake/dbt)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
France
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Data Platform Engineering Lead (Snowflake/dbt): Owning and evolving a reliable, scalable, and cost-efficient data platform with an accent on platform architecture, data modeling, engineering standards, and self-service foundations. Focus on defining data contracts, optimizing Snowflake and Azure consumption, building data quality and observability practices, and mentoring engineers.

Location: Hybrid, Annecy, France

Company

hirify.global is a mountain sports brand within Amer Sports, developing sporting goods including footwear, apparel, skis, bindings, and outdoor equipment.

What you will do

  • Own and evolve the hirify.global Data Platform architecture, analytics engineering layer, data models, and cost efficiency across dbt, Snowflake, and Azure.
  • Define and technically enforce data contracts between producers and consumers in collaboration with Enterprise and Data Architects and Data Governance.
  • Establish engineering standards for testing, CI/CD for data, code review, version control, observability, data quality, freshness, anomaly monitoring, and lineage.
  • Provide modeled, tested, and documented data foundations for semantic and metrics layers, supporting self-service data usage and AI/ML needs.
  • Lead architecture decisions, technical design reviews, delivery planning, and collaboration with IT and infrastructure stakeholders.
  • Mentor one internal Data Engineer and provide functional oversight for approximately 5–7 external delivery partner resources.

Requirements

  • 8–10 years of experience in data engineering or analytics engineering, including ownership of platform-level architecture rather than only pipeline delivery.
  • Deep hands-on mastery of Snowflake, dbt, Airflow, and Azure.
  • Advanced SQL and solid software-engineering fundamentals, including testing, CI/CD, modularity, versioning, and medallion architecture.
  • Experience with data contracts, data quality frameworks, and observability frameworks.
  • Experience with cloud and data platform cost management and FinOps.
  • Experience in multi-market, multi-source enterprise environments.
  • Hands-on use of AI tools to accelerate engineering work.
  • Proven experience setting engineering standards adopted by a team and mentoring engineers.
  • Master's or Engineering degree in Computer Science, Data Engineering, Information Systems, or an equivalent field; equivalent professional experience is accepted.
  • Fluent English.

Culture & Benefits

  • Hybrid work based in Annecy, France.
  • Work within hirify.global's mountain sports and outdoor-focused environment.
  • Collaboration with internal teams, external delivery partners, IT, infrastructure, architecture, data governance, and AI/ML stakeholders.
  • Inclusive environment reflecting diversity as one of hirify.global's values.

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